Prof. ZHOU Dingxuan (周定軒)

Research Output

  1. 2019
  2. Published

    Data-Dependent Generalization Bounds for Multi-Class Classification

    Lei, Y., Dogan, U., Zhou, D. & Kloft, M., May 2019, In : IEEE Transactions on Information Theory. 65, 5, p. 2995-3021 8620322.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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  3. E-pub ahead of print

    Distributed kernel gradient descent algorithm for minimum error entropy principle

    Hu, T., Wu, Q. & Zhou, D., 15 Jan 2019, In : Applied and Computational Harmonic Analysis.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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  4. 2018
  5. Published

    Deep distributed convolutional neural networks: Universality

    Zhou, D., Nov 2018, In : Analysis and Applications. 16, 06, p. 895-919

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 2
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  6. Published

    Modified Fejér sequences and applications

    Lin, J., Rosasco, L., Villa, S. & Zhou, D., Sep 2018, In : Computational Optimization and Applications. 71, 1, p. 95-113

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 1
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  7. Published

    Online Learning Algorithms Can Converge Comparably Fast as Batch Learning

    Lin, J. & Zhou, D., Jun 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 6, p. 2367-2378

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 6
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  8. Published

    Optimal Learning Rates for Kernel Partial Least Squares

    Lin, S. & Zhou, D., Jun 2018, In : Journal of Fourier Analysis and Applications. 24, 3, p. 908-933

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Check@CityULib
  9. E-pub ahead of print

    Convergence of online mirror descent

    Lei, Y. & Zhou, D., 22 May 2018, In : Applied and Computational Harmonic Analysis.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 1
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  10. Published

    Total stability of kernel methods

    Christmann, A., Xiang, D. & Zhou, D., 10 May 2018, In : Neurocomputing. 289, p. 101-118

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 1
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  11. Published

    Construction of Neural Networks for Realization of Localized Deep Learning

    Chui, C. K., Lin, S. & Zhou, D., May 2018, In : Frontiers in Applied Mathematics and Statistics. 4, 14.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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  12. Published

    Distributed Kernel-Based Gradient Descent Algorithms

    Lin, S. & Zhou, D., Apr 2018, In : Constructive Approximation. 47, 2, p. 249-276

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 11
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  13. Published

    Learning Theory of Randomized Sparse Kaczmarz Method

    Lei, Y. & Zhou, D., 20 Feb 2018, In : SIAM Journal on Imaging Sciences. 11, 1, p. 547-574

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 3
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  14. 2017
  15. Published

    Approximation on variable exponent spaces by linear integral operators

    Li, B., He, B. & Zhou, D., Nov 2017, In : Journal of Approximation Theory. 223, p. 29-51

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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  16. Published

    Online pairwise learning algorithms with convex loss functions

    Lin, J., Lei, Y., Zhang, B. & Zhou, D., 1 Sep 2017, In : Information Sciences. 406-407, p. 57-70

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 4
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  17. Published

    Distributed learning with regularized least squares

    Lin, S., Guo, X. & Zhou, D., Sep 2017, In : Journal of Machine Learning Research. 18, 92, p. 1-31

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 16
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  18. Published

    Learning theory of distributed spectral algorithms

    Guo, Z., Lin, S. & Zhou, D., 1 Jul 2017, In : Inverse Problems. 33, 7, 074009.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 20
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  19. E-pub ahead of print

    Distributed Semi-supervised Learning with Kernel Ridge Regression

    Chang, X., Lin, S. & Zhou, D., May 2017, In : Journal of Machine Learning Research. 18

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 13
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  20. Published

    Thresholded spectral algorithms for sparse approximations

    Guo, Z., Xiang, D., Guo, X. & Zhou, D., May 2017, In : Analysis and Applications. 15, 3, p. 433-455

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 13
    Check@CityULib
  21. Published

    Analysis of online composite mirror descent algorithm

    Lei, Y. & Zhou, D., Mar 2017, In : Neural Computation. 29, 3, p. 825-860

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 2
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  22. Published

    Unregularized online learning algorithms with general loss functions

    Ying, Y. & Zhou, D., Mar 2017, In : Applied and Computational Harmonic Analysis. 42, 2, p. 224-244

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 11
    Check@CityULib
  23. Published

    Online regularized learning with pairwise loss functions

    Guo, Z., Ying, Y. & Zhou, D., 1 Feb 2017, In : Advances in Computational Mathematics. 43, 1, p. 127-150

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

    Scopus citations: 3
    Check@CityULib
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